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临床蛋白质组学中的液相色谱-质谱联用、多重串联质谱、离子淌度和无标记定量分析

LC-MS, Multiplex MS/MS, Ion Mobility, and Label-Free Quantitation in Clinical Proteomics.

作者信息

Souza Gustavo Henrique Martins Ferreira, Guest Paul C, Martins-de-Souza Daniel

机构信息

Mass Spectrometry Applications & Development Laboratory, Waters Corporation, 125, Alphaville Industrial, Barueri, 06455-020, Campinas, São Paulo, SP, Brazil.

Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, SP, Brazil.

出版信息

Methods Mol Biol. 2017;1546:57-73. doi: 10.1007/978-1-4939-6730-8_4.

DOI:10.1007/978-1-4939-6730-8_4
PMID:27896757
Abstract

Proteomic tools can only be implemented in clinical settings if high-throughput, automated, sensitive, and accurate methods are developed. This has driven researchers to the edge of mass spectrometry (MS)-based proteomics capacity. Here we provide an overview of recent achievements in mass spectrometric technologies and instruments. This includes development of high and ultra definition-MS (HDMS and UDMS) through implementation of ion mobility (IM) MS towards sensitive and accurate label-free proteomics using ultra performance liquid chromatography (UPLC). Label free UPLC-HDMS is less expensive than labeled-based quantitative proteomics and has no limits regarding the number of samples that can be analyzed and compared, which is an important requirement for supporting clinical applications.

摘要

只有开发出高通量、自动化、灵敏且准确的方法,蛋白质组学工具才能在临床环境中得以应用。这促使研究人员迈向基于质谱(MS)的蛋白质组学能力的极限。在此,我们概述了质谱技术和仪器方面的最新成果。这包括通过将离子淌度(IM)质谱与超高效液相色谱(UPLC)相结合,用于灵敏且准确的无标记蛋白质组学,从而开发出高分辨和超高分辨质谱(HDMS和UDMS)。无标记的UPLC-HDMS比基于标记的定量蛋白质组学成本更低,并且在可分析和比较的样本数量方面没有限制,这是支持临床应用的一项重要要求。

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